Questions, answered

Oogwai builds AI-powered data products. There are four lines: Oogwai Analytics (marketing and e-commerce analytics), Oogwai for YouTube (channel growth), Prism Books (finance intelligence on Tally) and custom enterprise AI builds. All of them share one idea — you ask a question in ordinary language and the product answers from your own data.

Answering questions about marketing and commerce performance without building a report first. Connect Google Analytics 4, Google Ads, Meta Ads, Shopify, YouTube Analytics, Search Console or BigQuery, then ask about spend, ROAS, conversion rate, retention or audience overlap. It also runs continuous diagnostics for wasted ad spend, and can pin answers as dashboard widgets, scheduled reports and alerts.

By looking for three patterns continuously: targeting overlap, where campaigns compete for the same people; creative fatigue, where frequency rises while click-through and conversion fall; and budget leakage, where spend accumulates on placements, geographies, keywords or SKUs that have never returned above break-even.

A finance intelligence and automation platform built around the Tally accounting ecosystem. It automates accounts payable from WhatsApp, answers questions about the books in plain English, consolidates multiple group companies and produces Schedule III reporting. Tally remains the book of record.

Channel intelligence for creators, brand content teams and multi-channel operators. It reads YouTube Analytics and explains what to change: retention drop-offs, title and thumbnail click-through, topic gaps, cadence and competitor benchmarks. It runs at youtube.oogw.ai/channels.

Yes. Enterprise engagements deliver turnkey AI products on your own data and in your own environment — natural-language query layers over a warehouse or ERP, document and invoice automation, forecasting, internal copilots, agent workflows and the data pipelines beneath them. Discovery takes one to two weeks and a working prototype follows within two to four.

Google Analytics 4, Google Ads, Meta Ads, Shopify, YouTube Analytics, Google Search Console, BigQuery and Slack, plus Tally and WhatsApp through Prism Books. Enterprise builds add ERPs, CRMs, warehouses, internal APIs and scheduled file drops.

No. Connecting a source is a sign-in. Asking a question is typing a sentence. There is no SQL, no data modelling layer and no report-builder training.

For Oogwai Analytics and Oogwai for YouTube, usually under ten minutes from signup to first answer. Prism Books and enterprise builds are set up with our team because they map to your own structures.

Standard connections are read-only. Oogwai does not change budgets, pause campaigns or edit records. Write actions exist only where they are the purpose of the product — such as Prism Books posting an approved voucher into Tally — and those are explicit, approved, logged and reversible.

No. Your data is used to answer your questions inside your own workspace. It is not pooled with other customers' data and is not used to train shared models.

For enterprise engagements, yes — AWS, Azure or GCP, including private networking and customer-managed keys where required.

Yes. Oogwai Analytics has a Free plan at $0 a month with no card: four integrations, 30 queries a month, static widgets and 30 days of data history. Growth is $30 a month, or $20 a month billed annually, adding 300 queries, dynamic widget refresh, lifetime history, live support and WhatsApp notifications. Enterprise is quoted. Prism Books and enterprise builds are quoted per engagement. See pricing.

Yes. Workspaces isolate each client's connections, dashboards and members, and reports can be scheduled per client. Agencies typically run one workspace per account.

Yes. Every answer shows its source, filter and date window, and each connection exposes its raw synced data and sync history, so any figure can be traced back to the records behind it.

Mumbai, India, working with customers worldwide.

Through the contact page, or by requesting a demo if you would rather be shown the product against your own data.